List of Oracle Database@Google Cloud Customers
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Since 2010, our global team of researchers has been studying Oracle Database@Google Cloud customers around the world, aggregating massive amounts of data points that form the basis of our forecast assumptions and perhaps the rise and fall of certain vendors and their products on a quarterly basis.
Each quarter our research team identifies companies that have purchased Oracle Database@Google Cloud for Database Management from public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources, including the customer size, industry, location, implementation status, partner involvement, LOB Key Stakeholders and related IT decision-makers contact details.
Companies using Oracle Database@Google Cloud for Database Management include: Nokia, a Finland based Manufacturing organisation with 78434 employees and revenues of $22.64 billion, Dun & Bradstreet, a United States based Professional Services organisation with 6247 employees and revenues of $2.38 billion, Actinver, a Mexico based Banking and Financial Services organisation with 2306 employees and revenues of $435.0 million and many others.
Contact us if you need a completed and verified list of companies using Oracle Database@Google Cloud, including the breakdown by industry (21 Verticals), Geography (Region, Country, State, City), Company Size (Revenue, Employees, Asset) and related IT Decision Makers, Key Stakeholders, business and technology executives responsible for the software purchases.
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight | Insight Source |
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Actinver | Banking and Financial Services | 2306 | $435M | Mexico | Oracle | Oracle Database@Google Cloud | Database Management | 2025 | n/a | In 2025 Banco Actinver implemented Oracle Database@Google Cloud as its Database Management platform. The deployment combines Oracle Database security and performance with Google Cloud data analytics and AI to gain deeper market insights, enhance financial services, and deliver more personalized customer experiences in Mexico for finance and customer-facing services. The implementation is inferred to use Oracle Database services such as Autonomous Database or Exadata on OCI running in Google Cloud to support mixed transaction and analytics workloads. Configuration emphasis includes managed provisioning and automated maintenance, high availability and encryption features typical of enterprise database deployments, and support for both OLTP and analytical query patterns. Oracle Database@Google Cloud is integrated with Google Cloud data analytics and AI workflows to provide analytics pipelines and model-driven personalization for front-office channels. Operational coverage centers on customer-facing finance functions in Mexico, aligning database feeds to analytics teams and customer experience systems to surface market insights and individualized service signals. Governance for the deployment centers on database and cloud controls, including role-based access, encryption at rest and in transit, and operational monitoring to meet banking security requirements. The stated business outcomes are deeper market insights, enhanced financial services, and more personalized customer experiences, driven by the combined Oracle Database and Google Cloud analytics and AI capability. | |
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Dun & Bradstreet | Professional Services | 6247 | $2.4B | United States | Oracle | Oracle Database@Google Cloud | Database Management | 2024 | n/a | In 2024, Dun & Bradstreet deployed Oracle Database@Google Cloud to unify Oracle Database performance with Google Cloud analytics and AI for large-scale decisioning data and analytics workloads in the United States. This implementation is classified in the Database Management category and is explicitly focused on accelerating processing of massive datasets to extract deeper insights. Oracle Database@Google Cloud was configured to support high throughput analytical query processing and to surface Oracle performance characteristics directly into Google Cloud analytics pipelines. It is inferred the deployment leverages Oracle Autonomous Database or Exadata on OCI provisioned within Google Cloud to provide optimized compute and storage for analytics and decisioning workloads. Integrations centered on routing Oracle Database performance signals into Google Cloud analytics and AI services, enabling unified data access for decisioning engines and analytics teams. Operational coverage is stated for the United States and the deployment scope emphasizes analytics and decisioning business functions rather than transactional processing. Platform governance and data platform orchestration were aligned to coordinate database performance, analytics ingestion, and AI model inputs across Oracle Database@Google Cloud and Google Cloud analytics components. The stated outcome is faster processing of massive datasets to extract deeper insights, improving analytic reach for decisioning workloads. | |
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Nokia | Manufacturing | 78434 | $22.6B | Finland | Oracle | Oracle Database@Google Cloud | Database Management | 2025 | n/a | In 2025, Nokia implemented Oracle Database@Google Cloud to accelerate its data center exit strategy and to run mission critical Oracle Database instances. Nokia implemented Oracle Database@Google Cloud for Database Management to support core telecommunications and consumer electronics operational databases. The deployment runs Oracle Database@Google Cloud on Google Cloud while retaining existing Oracle licenses and commitments, enabling license portability and continuity of contractual commitments. The architecture focuses on running native Oracle Database instances in cloud infrastructure with dynamic scaling and operational continuity designed to avoid downtime. Functional scope centers on Database Management for mission critical workloads, including capacity scaling and performance optimization to maintain cloud based operational continuity across Nokia infrastructure. Governance and procurement adjustments emphasized reuse of existing licenses and alignment of cloud consumption commitments as part of the data center exit process. Stated outcomes for the Nokia Oracle Database@Google Cloud deployment include dynamic scaling and optimized performance without downtime. The implementation aligns Database Management capability with cloud first hosting for core database services and reduces on premises data center dependence. |
Buyer Intent: Companies Evaluating Oracle Database@Google Cloud
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